Study of Distribution of Free Flow Speeds on Urban Road Sections Depending on Their Functional Purpose and One-Way Traffic—Evidence from Kharkiv (Ukraine)
Source abstract
Abstract
Data on the distribution of the free flow speed (FFS) of cars are used to solve a wide range of tasks in the field of road transport, starting from road design and ending with the development of traffic modeling and simulation programs. The purpose of this study was to obtain the distribution of vehicle speeds on typical sections of the city road network, characterized by the presence of one-way traffic. The data were obtained by field observations using a portable radar. As a result, statistical characteristics and speed distribution laws for four sections of streets in the city of Kharkiv were analyzed. It was shown that the characteristics of FFS distributions differ depending on the functional class of the streets. Average FFS values on main street segments were on average 19 km/h higher. The one-way traffic has less impact on the FFS distribution, especially for arterial streets. The characteristics of FFS distributions differ depending on the type and functional class of streets; they can be described with sufficient accuracy by typical distribution laws, such as Normal, Log-normal, Gamma, and Chi-square. The results of this study can be useful for traffic modeling problems.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Traffic control and management · Traffic Prediction and Management Techniques · Vehicle emissions and performance
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Road Traffic Management and Safety, Kharkiv National Automobile and Highway University, 61002 Kharkiv, Ukraine
Department of Transport Systems, Traffic Engineering and Logistics, Faculty of Transport and Aviation Engineering, Silesian University of Technology, 40-019 Katowice, Poland
Department of Automobiles, Kharkiv National Automobile and Highway University, 61002 Kharkiv, Ukraine
References (30)
Show source-provided references
1. Srijith, B. (2015). Modelling Free-Flow Speeds on Urban Roads Under Heterogeneous Traffic Conditions. [Ph.D. Thesis, Indian Institute of Technology Madras].
2. Analysis and comparison of traffic flow models: A new hybrid traffic flow model vs. benchmark models10.1186/s12544-021-00515-0 ↗
3. You, Y. (2022). Mathematical Models and Control Algorithms for Traffic. Automation. Dissertation in Applied Mathematics, University of California.
4. Analysis and Prediction of Vehicles Speed in Free-Flow Traffic
5. Driver speed compliance in Western Australia: A multivariate analysis10.1016/j.tranpol.2003.11.002 ↗
6. Botma, H. (1999). The Free Speed Distribution of Drivers: Estimation Approaches. Five Years: Crossroads of Theory and Practice, Delft University Press.
7. Speeding behavior among teenage drivers during the learner and early independent driving stage: A case study approach
8. Aggressive Driving: An Observational Study of Driver, Vehicle, and Situational Variables10.1016/S0001-4575(03)00037-X ↗
9. Johnathon, E., Joanne, H., Jonas, B., Ann, W., Jeffrey, M., Raphael, G., Jake, O., Jan, E., Judith, C., and Sjaan, K. (2021). Naturalistic Driving Studies: An Overview and International Perspective. Int. Encycl. Transp., 20–38.10.1016/B978-0-08-102671-7.10651-7 ↗
10. What characterizes a “free vehicle” in an urban area?10.1016/S1369-8478(02)00003-7 ↗
11. Distribution of traffic speed in different traffic conditions: An empirical study in Budapest10.3846/transport.2019.11725 ↗
12. Calibration to Local Conditions of Geometry-Based Operating Speed Models for Urban Arterials and Collectors10.1016/j.sbspro.2012.09.931 ↗
13. Analysis of Free Flow Speed on Urban Road
14. Effects of urban road environment on vehicular speed. Evidence from Brescia (Italy)10.1016/j.trpro.2021.12.076 ↗
15. Critical Analysis of Road Side Friction on an Urban Arterial Road. Engineering10.48084/etasr.5603 ↗
16. Factors for Free Flow Speed on Urban Arterials—Empirical Evidences from Nigeria
17. Free flow speed estimation: A probabilistic, latent approach. Impact of speed limit changes and road characteristics10.1016/j.tra.2020.05.024 ↗
18. Bindzar, P., Saderova, J., Sofranko, M., Kacmary, P., Brodny, J., and Tutak, M. (2021). A Case Study: Simulation Traffic Model as a Tool to Assess One-Way vs. Two-Way Traffic on Urban Roads around the City Center. Appl. Sci., 11.10.3390/app11115018 ↗
19. Simulation-optimization model for one-way traffic reconfiguration10.1177/0037549715621400 ↗
20. The effect of one-way system implementation on traffic performance on Arif Rahman Hakim Road, Depok City, Indonesia
21. Modelling of traffic operations in urban networks of developing countries: A computer aided simulation approach10.1016/S0198-9715(98)00040-4 ↗
22. Analysis of Free-flow Speed Characteristics of Urban Arterials
23. A Method of Estimating the Free Speed Distribution for a Road10.1287/trsc.13.2.130 ↗
24. The Vehicle Speed Distribution on Heterogeneous Traffic: Space Mean Speed Analysis of light Vehicles and Motorcycle in Makassar-Indonesia
25. Characterizing and distinguishing free and jammed traffic flows from the distribution and correlation of experimental speed data10.1088/1367-2630/18/8/083022 ↗
26. Speed and road accidents: Behaviors, motives, and assessment of the effectiveness of penalties for speeding
27. Ivan, J.N., Garrick, N.W., and Hanson, G. (2009). Designing Roads that Guide Drivers to Choose Safer Speeds, Connecticut Transportation Institute, University of Connecticut. Report No. JHR-09-321.
28. Traffic speed prediction techniques in urban environments10.1016/j.heliyon.2022.e11847 ↗
29. Study of actual vehicle speeds using video surveillance data
30. (2024, November 29). Available online: https://online.budstandart.com/ua/catalog/doc-page.html?id_doc=77079.